Accommodation price calculation method and accommodation price calculation program

Abstract

To provide an accommodation price calculation method and accommodation price calculation program capable of estimating future monthly or annual sales amount of the entire accommodation facility such as a hotel or inn with high accuracy. [Solution] An accommodation price calculation method in which a computer executes the following steps (1) to (5): (1) A step of calculating monthly average accommodation prices Psave, Pwave, and Ptave for each room type 11 provided by a specific hotel 1a under specific accommodation conditions in a specific month of the year. (2) A step of calculating monthly average accommodation price PMave for the total number of rooms under specific accommodation conditions in the specific hotel 1a in a specific month. (3) A step of acquiring an accompanying coefficient 14 for each room type 11 from a specific accompanying coefficient database DB2. (4) A step of calculating an average accompanying coefficient ave14 for the total number of rooms in the specific hotel 1a. (5) A step of calculating monthly average accommodation price Padr1 for the number of people corresponding to the average accompanying coefficient ave14 under specific conditions in the specific month in the specific hotel 1a.

Description

[Technical field]

[0001] The present invention relates to an accommodation price calculation method and an accommodation price calculation program. [Background technology]

[0002] Traditionally, improving management soundness and profitability has been an important issue for lodging facilities such as hotels and inns, and in order to solve this issue, future sales amounts of lodging facilities are predicted (estimated). In lodging facilities, a unit price (accommodation price) is set for each room type. Therefore, by using factors such as the unit price for each room type, the number of guests, and the number of rooms of each room type provided by the lodging facility, it is possible to estimate the approximate monthly or annual sales amount of the lodging facility. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2019-074988 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, in reality, sales vary depending on factors such as the type of room and the time of stay (season), so it is difficult to estimate future sales based on a simple set unit price. Also, even for the same room type, the unit price to be set differs depending on the area (region) where the accommodation facility is located, the number of accompanying guests, whether meals are included, etc. There are many factors that make up sales, and they can be uncertain fluctuating factors, so it is very difficult to estimate the future sales of the accommodation facility as a whole.

[0005] The present invention has been made in consideration of the above circumstances, and has an exemplary objective of providing an accommodation price calculation method and an accommodation price calculation program that can estimate future monthly or annual sales amounts for the entire accommodation facility, such as a hotel or inn, with high accuracy. [Means for solving the problem]

[0006] In order to solve the above problems, an accommodation price calculation method according to an exemplary aspect of the present invention has the following configuration.

[0007] A plurality of accommodation facilities are divided into a plurality of areas, and each of the plurality of areas includes a plurality of accommodation facilities that are a part of the plurality of accommodation facilities; When one area specified from among the plurality of areas is defined as a specific area, and one accommodation facility specified from among the plurality of accommodation facilities located in the specific area is defined as a specific facility, an accommodation price calculation method for calculating an accommodation price related to the specific facility, comprising the steps of: A method for calculating accommodation prices, comprising the steps of (1) to (5) below being carried out by a computer. (1) A step of calculating the monthly average accommodation price for each room type in the specific facility for a specific number of people and specific conditions in a specific month of the year as an average specific accommodation price for multiple room types. (2) A process of calculating a monthly average specific accommodation price for the total number of rooms in said specific facility under said specific conditions and for said specific number of persons in said specific month by adding up the average specific accommodation prices for each room type in proportion to the total number of rooms in said specific facility, as a single overall average specific accommodation price. (3) A process of acquiring multiple entrainment coefficients for each room type as multiple room type specific entrainment coefficients from a specific entrainment coefficient database in which the room types and entrainment coefficients in the specific facility are mutually associated. (4) A process of calculating an average entrainment coefficient for the total number of rooms in the specific facility as a single overall average specific entrainment coefficient by prorating and adding up the specific entrainment coefficients for each of the multiple room types in accordance with the proportion of the total number of rooms in the specific facility that the corresponding room types occupy. (5) A process of calculating, based on the overall average specific accommodation price and the overall average specific accompaniment coefficient, the monthly average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient at the specific facility in the specific month under the specific conditions, as a first specific accommodation price.

[0008] Furthermore, an accommodation price calculation program according to another exemplary aspect of the present invention has the following configuration.

[0009] A plurality of accommodation facilities are divided into a plurality of areas, and each of the plurality of areas includes a plurality of accommodation facilities that are a part of the plurality of accommodation facilities; When one area specified from among the plurality of areas is defined as a specific area, and one accommodation facility specified from among the plurality of accommodation facilities located in the specific area is defined as a specific facility, an accommodation price calculation program for calculating an accommodation price related to the specific facility, comprising: An accommodation price calculation program that causes a computer to execute the following steps (1) to (5). (1) A step of calculating the monthly average accommodation price for each room type in the specific facility for a specific number of people and specific conditions in a specific month of the year as an average specific accommodation price for multiple room types. (2) A process of calculating a monthly average specific accommodation price for the total number of rooms in said specific facility under said specific conditions and for said specific number of persons in said specific month by adding up the average specific accommodation prices for each room type in proportion to the total number of rooms in said specific facility, as a single overall average specific accommodation price. (3) A process of acquiring multiple entrainment coefficients for each room type as multiple room type specific entrainment coefficients from a specific entrainment coefficient database in which the room types and entrainment coefficients in the specific facility are mutually associated. (4) A process of calculating an average entrainment coefficient for the total number of rooms in the specific facility as a single overall average specific entrainment coefficient by prorating and adding up the specific entrainment coefficients for each of the multiple room types in accordance with the proportion of the total number of rooms in the specific facility that the corresponding room types occupy. (5) A process of calculating, based on the overall average specific accommodation price and the overall average specific accompaniment coefficient, the monthly average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient in the specific month at the specific facility under the specific conditions, as a first specific accommodation price.

[0010] Further objects and other features of the present invention will become apparent from the following description of preferred embodiments with reference to the accompanying drawings. Effect of the Invention

[0011] According to the present invention, it is possible to provide an accommodation price calculation method and an accommodation price calculation program that can estimate future monthly or annual sales amounts for the entire accommodation facility, such as a hotel or inn, with high accuracy. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a schematic diagram showing a state in which a plurality of hotels according to a first embodiment are located in a plurality of areas. [Diagram 2] 1 is a schematic diagram of an overall configuration of an ADR estimation system for implementing an ADR estimation method according to a first embodiment. [Diagram 3] 4 is a flowchart for explaining an ADR estimation method according to the first embodiment. [Figure 4] FIG. 2 is a data structure diagram of a specific hotel database. [Diagram 5] FIG. 13 is a data structure diagram of a specific accompanying coefficient database. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0014] [Embodiment 1] <Overall composition> 1 is a schematic diagram showing a state in which a plurality of hotels (accommodation facilities) 1 to 3 according to a first embodiment of the present invention are located in a plurality of areas 10 to 30. The areas 10 to 30 are regions partitioned into predetermined geographical areas, and a plurality of hotels 1 are located in area 10, a plurality of hotels 2 are located in area 20, and a plurality of hotels 3 are located in area 30.

[0015] Each of the areas 10 to 30 may be arbitrarily set based on appropriate conditions, but generally, it is preferable to set an area for each group of hotels that have roughly the same type of guests, purpose of use, set price, etc., such as setting an area for each city or region, or setting a group of hotels around a tourist spot as one area, etc. Also, a city or region may be divided into regions by a circle with a certain radius or a quadrangle (such as a square or rectangle) with certain sides, and an area may be set for each of the divided circular or rectangular regions.

[0016] In this embodiment 1, an accommodation price calculation method and an accommodation price calculation program for a specific hotel (specific facility) 1a among a plurality of hotels 1 located in a specific area 10a among a plurality of areas 10 to 30 will be described. Hereinafter, the accommodation price calculation method will be referred to as an ADR estimation method, the accommodation price calculation system as a system that realizes the ADR estimation method as an ADR estimation system, and the accommodation price calculation program as an ADR estimation program. Here, ADR is price information known as the average daily rate, which is generally a numerical value obtained by dividing the total sales amount by the number of rooms, but by taking into account various other factors, it is possible to make a more detailed and highly accurate estimation.

[0017] <System configuration> 2 is a schematic diagram of the overall configuration of an ADR estimation system S for realizing the ADR estimation method (accommodation price calculation method) according to this embodiment 1. The ADR estimation system S is substantially configured to have a computer 5, which may have an input unit 6 such as a keyboard or a mouse and an output unit 7 such as a display. The computer 5 may be connected to another computer 8, an Internet site 9, etc., via a network W such as the Internet, for example.

[0018] The computer 5 has therein a CPU (arithmetic processing unit) 5a and a memory 5b. The CPU 5a functions as a main part of the computer 5, and executes various steps based on various arithmetic processing when an ADR estimation program P described later is started. The memory 5b functions as a storage device, and stores therein the ADR estimation program P. It may also be used to temporarily store various intermediate parameters based on the arithmetic processing of the CPU 5a, and to store various databases (such as a specific hotel database DB1 and a specific accompaniment coefficient database DB2) described later.

[0019] <Operation description> Hereinafter, each step of the ADR estimation method executed by starting the ADR estimation program P according to the first embodiment will be described. Fig. 3 is a flowchart for explaining the ADR estimation method. Note that, although Fig. 3 describes up to (S.8), in the first embodiment, a series of processes ends at (S.5), so the process up to (S.5) will be described here. The processes from (S.6) to (S.8) can be added separately as appropriate as an ADR estimation method.

[0020] First, a hotel for which an ADR is to be estimated, that is, a hotel for which an accommodation price equivalent to the average room rate is to be calculated, is identified as a specific hotel 1a (S.0). The specific hotel 1a is included in a specific area 10a, which is an area identified from multiple areas 10 to 30, and is a hotel 1a identified from multiple hotels 1 in the specific area 10a.

[0021] Fig. 4 is a data structure diagram of a specific hotel database DB1 constructed by associating data related to a specific hotel 1a with each other. In the specific hotel database DB1, the room types 11 of the specific hotel 1a, the number of rooms 12 for each room type, and the accommodation prices 13 set for each room type are associated with each other. Note that Fig. 4 only shows the accommodation prices 13 for January, February, and March (specific months), but in reality, information on accommodation prices 13 from April onwards may also be associated and stored.

[0022] Here, the room type 11 refers to the type of room, such as a single room (one single bed in one room), a double room (one double bed in one room), a twin room (two single beds in one room), etc. The accommodation price 13 set for each room may be, for example, the price per night for each room set by the accommodation facility.

[0023] When information such as the accommodation price 13 can be obtained directly from the specific hotel 1a, that information may be stored in the specific hotel database DB1, and when information cannot be obtained directly from the specific hotel 1a, the accommodation price 13 may be stored in the specific hotel database DB1 based on information obtained from the homepage of the Internet site of the specific hotel 1a, for example. Also, when information such as the accommodation price 13 has not been set because the specific hotel 1a has not yet opened, for example, price information 13 estimated based on information from other hotels 1 in the area 10 in which the specific hotel 1a is located may be stored in the specific hotel database DB1.

[0024] In the first embodiment, the accommodation price 13 is the accommodation price for "two persons, one night stay, room only" for any room type 11. Of course, this condition may be set to other conditions as appropriate. Note that here, if the accommodation price 13 does not change within a month, one price information will suffice, but if it changes within a month depending on whether the hotel is busy or not, the accommodation price 13 for each day may be stored in the specific hotel database DB1.

[0025] (1st step) After the specific hotel 1a is identified, a process (hereinafter referred to as the first process) is executed by the computer 5 to calculate the monthly average accommodation price for each room type 11 in a specific facility with a specific number of guests and specific conditions in a specific month of the year as the average specific accommodation price for multiple room types (S.1).

[0026] Here, in this embodiment 1, "a specific number of people and specific conditions" means the conditions of "2 people, one night stay, accommodation only" (here, this "specific number of people and specific conditions" will be referred to simply as "specific accommodation conditions"). "A specific month of the year" is any month that serves as the basis for carrying out this first step.

[0027] For example, if the accommodation price in the specific hotel database DB1 is for March, the specific month can be set to March, and if the accommodation price in the specific hotel database DB1 is for October, the specific month can be set to October. As will be described later, when estimating the ADR of months other than the specific month based on the ADR of the specific month, or estimating the annual average ADR, information on which month the specific month is is used.

[0028] A specific example of the calculation process in the first step can be explained as follows. If the accommodation price for a specific hotel 1a in a specific month (for example, March) under specific accommodation conditions is Single room rate: Ps Double room rate:Pw Twin room rate:Pt Let us assume that the accommodation price for each day of the month (March 1st to March 31st) is indicated by the subscripts 1 to 31. The accommodation price for each day of the month under specific accommodation conditions for a single room is as follows: 1st day: Ps1 2nd day: Ps2 · · 15th: Ps15 · · 30th: Ps30 31st: Ps31 It becomes.

[0029] Then, the average specific accommodation price Psave for a single room in a specific month is: Psave = Σ(Ps1~Ps31) / 31 The average specific accommodation price Pwave for a double room by room type in a specific month is: Pwave=Σ(Pw1~Pw31) / 31 The average specific accommodation price Ptave for a twin room by room type in a specific month is: Ptave = Σ(Pt1~Pt31) / 31 Here, Σ(X1~X31) means the sum (total value) of the numbers from X1 to X31 in order. This number 31 changes depending on the number of days in the specific month, and if the specific month is February, it will be 28 or 29, and if the specific month is April, June, September, or November, it will be 30.

[0030] (2nd process) The computer 5 executes a process (hereinafter referred to as the second process) of calculating the monthly average accommodation price for the total number of rooms under specific accommodation conditions in the specific hotel 1a in a specific month as a single overall average specific accommodation price by prorating and adding up the room-type average specific accommodation prices Psave, Pwave, and Ptave for each room type 11 in accordance with the proportion of the corresponding room type 11 to the total number of rooms in the specific hotel 1a (S.2).

[0031] In the second step, the average monthly accommodation price (overall average specific accommodation price) for the total number of rooms under the specific accommodation conditions in the specific hotel 1a in the specific month (March) is calculated using the average specific accommodation price for each room type 11 calculated in the first step. Number of single rooms:Ns Number of double rooms:Nw Number of twin rooms:Nt Total number of rooms: NT=Ns+Nw+Nt In this case, the overall average specific accommodation price PMave for specific hotel 1a in a specific month under specific accommodation conditions is PMave={(Psave×Ns)+(Pwave×Nw)+(Ptave×Nt)} / NT It becomes.

[0032] (3rd step) A process (hereinafter referred to as the third process) of acquiring multiple accompaniment coefficients for each room type 11 as multiple room type specific accompaniment coefficients from a specific accompaniment coefficient database DB2 in which room types 11 and accompaniment coefficients in a specific hotel 1a are mutually associated is executed by the computer 5 (S.3).

[0033] 5 is a data structure diagram of the specific accompaniment coefficient database DB2 of the specific hotel 1a. In the specific accompaniment coefficient database DB2, an accompaniment coefficient 14 is associated with each room type 11 of the specific hotel 1a. Here, the accompaniment coefficient 14 is a numerical value indicating how many people are actually staying at the corresponding room type 11, and is the average number of users per night for a predetermined period (e.g., one month, six months, one year, etc.).

[0034] For example, even if it is a double room that is assumed to be used by two people, there may be days when it is used by one person, or days when an extra bed is used by three people. Even if it is a single room that is assumed to be used by one person, there may be days when an extra bed is used by two people. In this way, the entrainment coefficient 14 is calculated to determine the actual number of people using each room type 11 for one night.

[0035] If, for example, there were 3 days of single-person use, 5 days of double-person use, and 2 days of triple-person use during the 10 days, the accompanying coefficient 14 would be {(1×3)+(2×5)+(3×2)} / 10=1.9. If, for example, there were 2 days of single-person use, 6 days of double-person use, and 2 days of no use during the 10 days, the accompanying coefficient 14 would be {(1×2)+(2×6)+(0×2)} / 10=1.4.

[0036] In this way, from within the specific accompanying coefficient database DB2 constructed for the specific hotel 1a, the accompanying coefficient 14 for each room type 11 is obtained as the single room accompanying coefficient s14, the double room accompanying coefficient w14, and the twin room accompanying coefficient t14 for each room type 11. The single room accompanying coefficient s14, the double room accompanying coefficient w14, and the twin room accompanying coefficient t14 for the specific hotel 1a are collectively referred to as the room type specific accompanying coefficients.

[0037] In addition, this accompaniment coefficient 14 may be an average value for one month, in which case it can be conceptualized as the accompaniment coefficient 14 for a specific month (or the accompaniment coefficient 14 for a month other than the specific month). Of course, it may be an average value throughout the year, or it may be an average value of the cumulative data from the opening of the business to the present.

[0038] In addition, the accompaniment coefficient 14 may be a value based on the performance of the specific hotel 1a itself, but if there is no performance data, for example because the specific hotel 1a has not yet opened, the accompaniment coefficient 14 of a similar hotel in the surrounding area may be applied by analogy. In other words, the accompaniment coefficient 14 may be calculated based on performance data of some or all of the multiple hotels 1 in the area 10, or some or all of the multiple hotels 2, 3 including areas 20, 30, etc. other than the area 10, and used to estimate the room-type specific accompaniment coefficients s14, w14, t14 of the specific hotel 1a.

[0039] (4th step) The computer 5 executes a process (hereinafter referred to as the fourth process) of calculating the average accompaniment coefficient for the total number of rooms in the specific hotel 1a as a single overall average specific accompaniment coefficient by prorating and adding up the multiple room type specific accompaniment coefficients s14, w14, t14 in accordance with the proportion of the corresponding room type 11 in the total number of rooms in the specific hotel 1a (S.4).

[0040] In the fourth step, based on the room type specific accompaniment coefficients s14, w14, and t14 obtained in the third step and the information on the number of rooms 12 for each room type 11 owned by the specific hotel 1a, the average accompaniment coefficient for the total number of rooms in the entire specific hotel 1a is calculated as the overall average specific accompaniment coefficient ave14. That is, ave14 is ave14={(s14×Ns)+(w14×Nw)+(t14×Nt)} / NT This overall average specific accompaniment coefficient ave14 is a value obtained by leveling the accompaniment coefficient 14 for each room type by the total number of rooms, and in principle there will be one value for one specific hotel 1a. Of course, if the accompaniment coefficient 14 fluctuates from month to month, and the accompaniment coefficient 14 for a specific month and the accompaniment coefficient 14 for months other than the specific month are obtained separately in the third step, there may be multiple overall average specific accompaniment coefficients ave14 for each month for the specific hotel 1a.

[0041] (5th step) Based on the overall average specific accommodation price PMave and the overall average specific accompaniment coefficient ave14, the computer 5 executes a process (hereinafter referred to as the fifth process) of calculating the monthly average accommodation price for the number of guests corresponding to the overall average specific accompaniment coefficient ave14 under specific conditions (specific accommodation conditions other than the number of guests (specific number of guests)) in a specific month (March) at a specific hotel 1a as the first specific accommodation price (S.5).

[0042] The overall average specific accommodation price PMave is the monthly average accommodation price for the specific accommodation conditions in the specific month at the specific hotel 1a. Here, the specific accommodation conditions include the condition of "2 people" as the specific number of people. The first specific accommodation price Padr1 is the accommodation price corresponding to the number of people indexed by the overall average specific companion coefficient ave14, so when the specific number of people under the specific accommodation conditions is M, the first specific accommodation price Padr1 is Padr1 = PMave × ave14 / M In the first embodiment, the specific number of people M=2.

[0043] As explained above, by starting the ADR estimation program P, the computer 5 (i.e., the CPU 5a as its main part) executes the above five steps while referring to the specific hotel database DB1 and the specific accompaniment coefficient database DB2 constructed in the memory 5b or in a storage device constructed inside another computer 8, etc. As a result, the first specific accommodation price Padr1 for the number of guests indexed by the overall average specific accompaniment coefficient ave14 under specific conditions (one night, accommodation only) in a specific month at the specific hotel 1a is estimated as highly reliable numerical data. Note that this first specific accommodation price Padr1 can be said to be the so-called monthly ADR for a single month at the specific hotel 1a under specific conditions in a specific month.

[0044] [Embodiment 2] When the ADR estimation program P according to the second embodiment is started, the following sixth step is also executed in addition to the five steps described in the first embodiment.

[0045] (6th step) The computer 5 executes a process (hereinafter referred to as the sixth process) of calculating, as a second specific accommodation price, the monthly average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient ave14 under specific conditions for the specific hotel 1a in a month other than the specific month (e.g., October) based on the monthly average accommodation price for a specific month (March) and the monthly average accommodation price for a month other than the specific month (March) (e.g., October) under specific accommodation conditions for the specific hotel 1a or other hotels 1 other than the specific hotel 1a in the specific area 10a (S.6).

[0046] In the second embodiment, the monthly fluctuation database DB3 of the specific hotel 1a is stored in the memory 5b or in an internal storage device of the other computer 8. FIG. 2 shows an example in which the monthly fluctuation database DB3 is stored in the other computer 8. The monthly fluctuation database DB3 stores the accommodation prices 13 of the specific hotel 1a under specific accommodation conditions for each month throughout the year. The accommodation prices 13 in the monthly fluctuation database DB3 may be actual price data or may be a ratio value standardized based on a specific month. The accommodation prices 13 for each room type 11 may be stored for each month, or the overall average specific accommodation price PMave for each month for the entire number of rooms in the specific hotel 1a may be stored. Furthermore, the monthly fluctuation database DB3 does not necessarily have to be the accommodation prices 13 of the specific hotel 1a, but may be information on the monthly accommodation prices 13 of other hotels of the same type, for example, some or all of the other multiple hotels 1 in the specific area 10a.

[0047] Using the accommodation price 13 in the monthly fluctuation database DB3, the second specific accommodation price Padr2 for the specific hotel 1a under the specific conditions in a month other than the specific month can be estimated. That is, the second specific accommodation price Padr2 is Padr2 = Padr1 × accommodation price for months other than the specified month / accommodation price for the specified month By this calculation process, the second specific accommodation price Padr2 for a month other than the specific month can be estimated easily and with high accuracy. For example, when the specific month is March and the other month is October, the second specific accommodation price Padr2 for October can be estimated easily and with high accuracy based on the first specific accommodation price Padr1 for March. It is possible to appropriately select whether the accommodation price 13 in the monthly fluctuation database DB3 is the accommodation price for each room type 11, the overall average specific accommodation price PMave, the information of the specific hotel 1a, or the information of the hotel 1 other than the specific hotel 1a, and the load of the calculation process and the accuracy of the estimation vary depending on which information is used. It is possible to say that the second specific accommodation price Padr2 is the so-called monthly ADR for a single month under specific conditions in a month other than the specific month at the specific hotel 1a.

[0048] [Embodiment 3] When the ADR estimation program P according to the third embodiment is started, in addition to the six steps described in the second embodiment, the following seventh step is also executed.

[0049] (7th step) The computer 5 executes a process (hereinafter referred to as the seventh process) of calculating, as the third specific accommodation price, the annual average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient ave14 under specific conditions of the specific hotel 1a based on the average accommodation price for each month under specific accommodation conditions of the specific hotel 1a or a hotel 1 other than the specific hotel 1a in the specific area 10a (S.7).

[0050] In the third embodiment, the estimation of the second specific accommodation price Padr2 in the second embodiment is executed for all months except the specific month. As a result, the monthly average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient ave14 under specific conditions at the specific hotel 1a is estimated for the specific month and all months other than the specific month, i.e., for all 12 months of the year. Then, by adding up these 12 accommodation prices and calculating the average value, the third accommodation price Padr3 under specific conditions at the specific hotel 1a is estimated as highly reliable numerical data. This third accommodation price Padr3 can be said to be the annual average ADR at the specific hotel 1a.

[0051] [Variations] The ADR estimation method executed by starting the ADR estimation program P may further include the following eighth step.

[0052] (8th step) A step (hereinafter referred to as an eighth step) of updating the accompanying coefficient 14 corresponding to the room type 11 in the specific accompanying coefficient database DB2 based on the accommodation record of the room type 11 is executed by the computer 5 (S.8).

[0053] The accompaniment coefficient 14 in the specific accompaniment coefficient database DB2 may be a fixed value calculated from the accommodation records at the specific hotel 1a or at hotels 1 other than the specific hotel 1a. However, in a modified example, the accompaniment coefficient 14 may be updated periodically or constantly based on the past accommodation records and new accommodation records.

[0054] Although the preferred embodiments of the present invention have been described above, the present invention is not limited to these, and various modifications and changes are possible within the scope of the gist of the present invention. For example, the present invention includes the following gist.

[0055] [Objective 1] A plurality of accommodation facilities are divided into a plurality of areas, and each of the plurality of areas includes a plurality of accommodation facilities that are a part of the plurality of accommodation facilities; When one area specified from among the plurality of areas is defined as a specific area, and one accommodation facility specified from among the plurality of accommodation facilities located in the specific area is defined as a specific facility, an accommodation price calculation method for calculating an accommodation price related to the specific facility, comprising the steps of: A method for calculating accommodation prices, comprising the steps of (1) to (5) below being carried out by a computer. (1) A step of calculating the monthly average accommodation price for each room type in the specific facility for a specific number of people and specific conditions in a specific month of the year as an average specific accommodation price for multiple room types. (2) A process of calculating a monthly average specific accommodation price for the total number of rooms in said specific facility under said specific conditions and for said specific number of persons in said specific month by adding up the average specific accommodation prices for each room type in proportion to the total number of rooms in said specific facility, as a single overall average specific accommodation price. (3) A process of acquiring multiple entrainment coefficients for each room type as multiple room type specific entrainment coefficients from a specific entrainment coefficient database in which the room types and entrainment coefficients in the specific facility are mutually associated. (4) A process of calculating an average entrainment coefficient for the total number of rooms in the specific facility as a single overall average specific entrainment coefficient by prorating and adding up the specific entrainment coefficients for each of the multiple room types in accordance with the proportion of the total number of rooms in the specific facility that the corresponding room types occupy. (5) A process of calculating, based on the overall average specific accommodation price and the overall average specific accompaniment coefficient, the monthly average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient at the specific facility in the specific month under the specific conditions, as a first specific accommodation price.

[0056] [Objective 2] The above accommodation price calculation method may further include the following step (6) being executed by a computer. (6) A process of estimating, as a second specific accommodation price, the monthly average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient under the specific conditions in the specific facility or accommodation facilities within the specific area under the specific number of people and the specific conditions in the specific month and the monthly average accommodation price for months other than the specific month, based on the monthly average accommodation price for the specific facility or accommodation facilities within the specific area under the specific conditions in the months other than the specific month.

[0057] [Objective 3] The above accommodation price calculation method may further include the following step (7) being executed by a computer. (7) A process of estimating, based on the average accommodation price for each month for the specified number of people and the specified conditions at the specified facility or accommodation facilities within the specified area, the annual average accommodation price for the number of people corresponding to the overall average specific companion coefficient under the specified conditions at the specified facility, as a third specific accommodation price.

[0058] [Objective 4] The above accommodation price calculation method may further include the following step (8) being executed by a computer. (8) A process of updating the accompaniment coefficient corresponding to the room type in the specific accompaniment coefficient database based on the accommodation record of the room type.

[0059] [Objective 5] A plurality of accommodation facilities are divided into a plurality of areas, and each of the plurality of areas includes a plurality of accommodation facilities that are a part of the plurality of accommodation facilities; When one area specified from among the plurality of areas is defined as a specific area, and one accommodation facility specified from among the plurality of accommodation facilities located in the specific area is defined as a specific facility, an accommodation price calculation program for calculating an accommodation price related to the specific facility, comprising: An accommodation price calculation program that causes a computer to execute the following steps (1) to (5). (1) A step of calculating the monthly average accommodation price for each room type in the specific facility for a specific number of people and specific conditions in a specific month of the year as an average specific accommodation price for multiple room types. (2) A process of calculating a monthly average specific accommodation price for the total number of rooms in said specific facility under said specific conditions and for said specific number of persons in said specific month by adding up the average specific accommodation prices for each room type in proportion to the total number of rooms in said specific facility, as a single overall average specific accommodation price. (3) A process of acquiring multiple entrainment coefficients for each room type as multiple room type specific entrainment coefficients from a specific entrainment coefficient database in which the room types and entrainment coefficients in the specific facility are mutually associated. (4) A process of calculating an average entrainment coefficient for the total number of rooms in the specific facility as a single overall average specific entrainment coefficient by prorating and adding up the specific entrainment coefficients for each of the multiple room types in accordance with the proportion of the total number of rooms in the specific facility that the corresponding room types occupy. (5) A process of calculating, based on the overall average specific accommodation price and the overall average specific accompaniment coefficient, the monthly average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient at the specific facility in the specific month under the specific conditions, as a first specific accommodation price. [Explanation of symbols]

[0060] ave14: Overall average specific companion coefficient DB1: Specific hotel database DB2: Specific entrainment coefficient database DB3: Monthly fluctuation database M: Specific number of people Ns: Number of single rooms in a particular hotel Nw: Number of double rooms in a particular hotel Nt: Number of twin rooms in a particular hotel NT: Total number of rooms in a particular hotel P: ADR Estimation Program (Accommodation Price Calculation Program) Padr1: 1st specific accommodation price Padr2: Second specific accommodation price PMave: The overall average price of a specific hotel for a specific month under specific accommodation conditions Ps: Single room accommodation price for a specific hotel in a specific month under specific accommodation conditions Psave: Average price of a single room by room type in a specific month Pw: The price of a double room at a specific hotel in a specific month under specific accommodation conditions Pwave: Average specific room price for a double room in a specific month Pt: The price of a twin room at a specific hotel in a specific month under specific accommodation conditions Ptave: Average specific room price for a twin room in a specific month S: ADR Estimation System (Accommodation Price Calculation System) s14, w14, t14: Room type specific companion coefficient W: Network 1~3: Hotel (accommodation) 1a: Specific hotels (specific facilities) 5: Computer 5a: CPU (Computational Processing Unit) 6: Input section 7: Output section 8: Other computers 10~30: Area 10a: Specific Area 11: Room type 12: Number of rooms 13: Accommodation price 14: Entrainment coefficient

Claims

1. A plurality of accommodation facilities are divided into a plurality of areas, and each of the plurality of areas includes a plurality of accommodation facilities that are a part of the plurality of accommodation facilities; When one area specified from among the plurality of areas is defined as a specific area, and one accommodation facility specified from among the plurality of accommodation facilities located in the specific area is defined as a specific facility, an accommodation price calculation method for calculating an accommodation price related to the specific facility, comprising the steps of: A method for calculating accommodation prices, comprising the steps of (1) to (5) below being carried out by a computer. (1) A step of calculating the monthly average accommodation price for each room type in the specific facility for a specific number of people and specific conditions in a specific month of the year as an average specific accommodation price for multiple room types. (2) A process of calculating a monthly average specific accommodation price for the total number of rooms in the specific facility under the specific conditions and for the specific number of people in the specific month by prorating and adding up the average specific accommodation prices for each room type in accordance with the proportion of the total number of rooms in the specific facility, as a single overall average specific accommodation price. (3) A process of acquiring multiple entrainment coefficients for each room type as multiple room type specific entrainment coefficients from a specific entrainment coefficient database in which the room types and entrainment coefficients in the specific facility are mutually associated. (4) A process of calculating an average entrainment coefficient for the total number of rooms in the specific facility as a single overall average specific entrainment coefficient by prorating and adding up the multiple room type specific entrainment coefficients in accordance with the proportion of the corresponding room types out of the total number of rooms in the specific facility. (5) A process of calculating, based on the overall average specific accommodation price and the overall average specific accompaniment coefficient, the monthly average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient under the specific conditions in the specific month at the specific facility, as a first specific accommodation price.

2. The lodging price calculation method according to claim 1 , further comprising the following step (6) being executed by a computer: (6) A process of estimating, as a second specific accommodation price, the monthly average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient under the specific conditions in the specific facility or accommodation facilities within the specific area for the specific number of people and the specific conditions in the specific month and the monthly average accommodation price for months other than the specific month, based on the monthly average accommodation price for the specific facility or accommodation facilities within the specific area for the specific month and the monthly average accommodation price for months other than the specific month.

3. The lodging price calculation method according to claim 1, further comprising the following step (7) being executed by the computer: (7) A process of estimating, based on the average accommodation price for each month for the specific number of people and the specific conditions at the specific facility or accommodation facilities within the specific area, the annual average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient under the specific conditions at the specific facility, as a third specific accommodation price.

4. The lodging price calculation method according to any one of claims 1 to 3, further comprising the following step (8) being executed by a computer: (8) A process of updating the accompaniment coefficient corresponding to the room type in the specific accompaniment coefficient database based on the accommodation record of that room type.

5. A plurality of accommodation facilities are divided into a plurality of areas, and each of the plurality of areas includes a plurality of accommodation facilities that are a part of the plurality of accommodation facilities; An accommodation price calculation program for calculating an accommodation price related to a specific facility when one area specified from among the plurality of areas is defined as a specific area and one accommodation facility specified from among the plurality of accommodation facilities located in the specific area is defined as a specific facility, the program comprising: An accommodation price calculation program that causes a computer to execute the following steps (1) to (5). (1) A step of calculating the monthly average accommodation price for each room type in the specific facility for a specific number of people and specific conditions in a specific month of the year as an average specific accommodation price for multiple room types. (2) A process of calculating a monthly average specific accommodation price for the total number of rooms in the specific facility under the specific conditions and for the specific number of people in the specific month by prorating and adding up the average specific accommodation prices for each room type in accordance with the proportion of the total number of rooms in the specific facility, as a single overall average specific accommodation price. (3) A process of acquiring multiple entrainment coefficients for each room type as multiple room type specific entrainment coefficients from a specific entrainment coefficient database in which the room types and entrainment coefficients in the specific facility are mutually associated. (4) A process of calculating an average entrainment coefficient for the total number of rooms in the specific facility as a single overall average specific entrainment coefficient by prorating and adding up the multiple room type specific entrainment coefficients in accordance with the proportion of the corresponding room types out of the total number of rooms in the specific facility. (5) A process of calculating, based on the overall average specific accommodation price and the overall average specific accompaniment coefficient, the monthly average accommodation price for the number of people corresponding to the overall average specific accompaniment coefficient in the specific month at the specific facility under the specific conditions, as a first specific accommodation price.

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